Title: P9: Survey of Open-Source Machine Learning and Data Sciecne in [2024-10-03 Thu] a python library for…
ByPulseAugur Editorial·
Summary by None
from 43 sources
OpenAI has released Triton 1.0, an open-source programming language designed to make GPU programming more accessible for researchers. Triton allows users to write efficient GPU code, comparable to expert-level performance, with significantly less code than traditional methods. This release aims to simplify the development of complex neural network operations and improve performance by automating low-level GPU optimizations.
AI
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OpenAI released Triton 1.0, an open-source GPU programming language, which is a significant infrastructure tool for AI research and development.
We’re releasing Triton 1.0, an open-source Python-like programming language which enables researchers with no CUDA experience to write highly efficient GPU code—most of the time on par with what an expert would be able to produce.
We’re releasing highly-optimized GPU kernels for an underexplored class of neural network architectures: networks with block-sparse weights. Depending on the chosen sparsity, these kernels can run orders of magnitude faster than cuBLAS or cuSPARSE. We’ve used them to attain state…
**Huggingface** released "The Ultra-Scale Playbook: Training LLMs on GPU Clusters," an interactive blogpost based on **4000 scaling experiments on up to 512 GPUs**, providing detailed insights into modern GPU training strategies. **DeepSeek** introduced the Native Sparse Attentio…
**Jeremy Howard** and collaborators released a new tool combining **FSDP**, **QLoRA**, and **HQQ** to enable training **70b-parameter** models on affordable consumer GPUs like **RTX 4090s** with only **24GB RAM**, overcoming traditional memory constraints that required expensive …
<p><em>We are</em> <a href="https://sessionize.com/ai-engineer-worlds-fair-2025" target="_blank">calling for the world’s best AI Engineer talks for AI Architects, /r/localLlama, Model Context Protocol (MCP), GraphRAG, AI in Action, Evals, Agent Reliability, Reasoning and RL, Retr…
<p><em>This episode came together at ~4 hrs notice since Dylan had just landed in SF and we had to setup quickly; you might notice some small audio issues in some segments, we apologize. We’re currently building our own podcast studio for 2024! 🙏 </em></p><p><em>We’re ramping up …
<p>GANs are at the center of AI hype. However, they are also starting to be extremely practical and be used to develop solutions to real problems. Jakub Langr and Vladimir Bok join us for a deep dive into GANs and their application. We discuss the basics of GANs, their various fl…
<p>Chris and Daniel take the opportunity to catch up on some recent AI news. Among other things, they discuss the increasing impact of AI on studies of the ancient world and “good” uses of GANs. They also provide some more learning resources to help you level up your AI and machi…
<p>Daniel and Chris explore three potentially confusing topics - generative adversarial networks (GANs), deep reinforcement learning (DRL), and transfer learning. Are these types of neural network architectures? Are they something different? How are they used? Well, If you have e…
<p><span style="font-weight: 400;">Ian Goodfellow is the author of the popular textbook on deep learning (simply titled “Deep Learning”). He coined the term Generative Adversarial Networks (GANs) and with his 2014 paper is responsible for launching the incredible grow…
Title: P10: Survey of Open-Source Machine Learning and Data Sciecne in [2024-10-03 Thu] in NLP: text classification and sequence tagging. instead of annotating random samples, you annotate a portion of the examples that are most useful to improving the model. + AriGraph - memory …
Title: P9: Survey of Open-Source Machine Learning and Data Sciecne in [2024-10-03 Thu] a python library for bandit algorithms and off-policy evaluation 8) AIRI Artificial Intelligence Research Institute https:// github.com/AIRI-Institute/ + pogema - Partially-Observable Grid Envi…
Title: P8: Survey of Open-Source Machine Learning and Data Sciecne in [2024-10-03 Thu] features transformation, feature selection and Logistic Regression. + SLAMA - LightAutoML on Spark + ESGify - NLP model for multilabel news classification with respect to 47 ESG risks (company …
Title: P7: Survey of Open-Source Machine Learning and Data Sciecne in [2024-10-03 Thu] + Py-Boost - Python based GBDT implementation on GPU. multiclass/multilabel/multitask training + HypEx - framework for automatic Causal Inference. + Sim4Rec - Simulator for training and evaluat…
Title: P5: Survey of Open-Source Machine Learning and Data Sciecne in [2024-10-03 Thu] distributed learning. + rep - wrapper for popular ML libraries. try to extends scikit-learn. + ch-tools, ch-backup - administration and diagnostics and Backup tools for ClickHouse. 6) ETNA-team…
Title: P4: Survey of Open-Source Machine Learning and Data Sciecne in [2024-10-03 Thu] 5) Yandex https:// github.com/yandex/ + catboost - Gradient Boosting on Decision Trees https:// github.com/catboost/catboost + YaLM-100B is a GPT-like neural network for generating and processi…
Title: P1: Survey of Open-Source Machine Learning and Data Sciecne in [2024-10-03 Thu] + BAMT - Bayesian networks. + GOLEM - Graph Optimiser 2) HSE University + hsemotion, - face emotion recognition in photos and videos - https:// github.com/av-savchenko/face-e motion-recognition…
Title: P2: Survey of Open-Source Machine Learning and Data Sciecne in [2024-10-03 Thu] + probaforms - generative models for tabular data: conditional GAN, Normalizing Flows, Var. Autoencoders - https:// github.com/HSE-LAMBDA/probafor ms 3) MIPT (Moscow Institute of Physics and Te…
Title: P2: P0: Survey of Open-Source Machine Learning and Data Sciecne in [2024-10-03 Thu] - unique: automation of solving the problem of time series classification. - build upon: catboost, lightgbm, xgboost, statsmodels, ete3 (trees), scikit-learn, NetworkX, sktime (time-seriese…
Title: P1: P0: Survey of Open-Source Machine Learning and Data Sciecne in [2024-10-03 Thu] Russia. 1) ITMO University AIM.CLUB https:// github.com/aimclub/ + FEDOT - Automated modeling and machine learning framework - core: part of FEDOT.Industrial. # russia # ml # nlp # datascie…
Title: P10: Survey of Open-Source Machine Learning and Data Sciecne in [2024-10-03 Thu] in NLP: text classification and sequence tagging. instead of annotating random samples, you annotate a portion of the examples that are most useful to improving the model. + AriGraph - memory …
Title: P7: Survey of Open-Source Machine Learning and Data Sciecne in [2024-10-03 Thu] + Py-Boost - Python based GBDT implementation on GPU. multiclass/multilabel/multitask training + HypEx - framework for automatic Causal Inference. + Sim4Rec - Simulator for training and evaluat…
Title: P8: Survey of Open-Source Machine Learning and Data Sciecne in [2024-10-03 Thu] features transformation, feature selection and Logistic Regression. + SLAMA - LightAutoML on Spark + ESGify - NLP model for multilabel news classification with respect to 47 ESG risks (company …
Title: P9: Survey of Open-Source Machine Learning and Data Sciecne in [2024-10-03 Thu] a python library for bandit algorithms and off-policy evaluation 8) AIRI Artificial Intelligence Research Institute https:// github.com/AIRI-Institute/ + pogema - Partially-Observable Grid Envi…
Title: P4: Survey of Open-Source Machine Learning and Data Sciecne in [2024-10-03 Thu] 5) Yandex https:// github.com/yandex/ + catboost - Gradient Boosting on Decision Trees https:// github.com/catboost/catboost + YaLM-100B is a GPT-like neural network for generating and processi…
Title: P5: Survey of Open-Source Machine Learning and Data Sciecne in [2024-10-03 Thu] distributed learning. + rep - wrapper for popular ML libraries. try to extends scikit-learn. + ch-tools, ch-backup - administration and diagnostics and Backup tools for ClickHouse. 6) ETNA-team…
Title: P2: Survey of Open-Source Machine Learning and Data Sciecne in [2024-10-03 Thu] + probaforms - generative models for tabular data: conditional GAN, Normalizing Flows, Var. Autoencoders - https:// github.com/HSE-LAMBDA/probafor ms 3) MIPT (Moscow Institute of Physics and Te…
Title: P2: P0: Survey of Open-Source Machine Learning and Data Sciecne in [2024-10-03 Thu] - unique: automation of solving the problem of time series classification. - build upon: catboost, lightgbm, xgboost, statsmodels, ete3 (trees), scikit-learn, NetworkX, sktime (time-seriese…
Title: P1: Survey of Open-Source Machine Learning and Data Sciecne in [2024-10-03 Thu] + BAMT - Bayesian networks. + GOLEM - Graph Optimiser 2) HSE University + hsemotion, - face emotion recognition in photos and videos - https:// github.com/av-savchenko/face-e motion-recognition…
Title: P1: P0: Survey of Open-Source Machine Learning and Data Sciecne in [2024-10-03 Thu] Russia. 1) ITMO University AIM.CLUB https:// github.com/aimclub/ + FEDOT - Automated modeling and machine learning framework - core: part of FEDOT.Industrial. # russia # ml # nlp # datascie…
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