Deathn0t
PhD student in AI at Argonne National Laboratory & Université Paris-Saclay. Working on AutoML.
Paris, France
Deathn0t's Stars
pytorch/pytorch
Tensors and Dynamic neural networks in Python with strong GPU acceleration
google-research/google-research
Google Research
CodeHubApp/CodeHub
CodeHub is an iOS application written using Xamarin
apache/mxnet
Lightweight, Portable, Flexible Distributed/Mobile Deep Learning with Dynamic, Mutation-aware Dataflow Dep Scheduler; for Python, R, Julia, Scala, Go, Javascript and more
openai/baselines
OpenAI Baselines: high-quality implementations of reinforcement learning algorithms
horovod/horovod
Distributed training framework for TensorFlow, Keras, PyTorch, and Apache MXNet.
microsoft/nni
An open source AutoML toolkit for automate machine learning lifecycle, including feature engineering, neural architecture search, model compression and hyper-parameter tuning.
dunovank/jupyter-themes
Custom Jupyter Notebook Themes
google-deepmind/sonnet
TensorFlow-based neural network library
tensorflow/swift
Swift for TensorFlow
snorkel-team/snorkel
A system for quickly generating training data with weak supervision
tensorspace-team/tensorspace
Neural network 3D visualization framework, build interactive and intuitive model in browsers, support pre-trained deep learning models from TensorFlow, Keras, TensorFlow.js
intel-analytics/BigDL
Accelerate local LLM inference and finetuning (LLaMA, Mistral, ChatGLM, Qwen, Baichuan, Mixtral, Gemma, etc.) on Intel CPU and GPU (e.g., local PC with iGPU, discrete GPU such as Arc, Flex and Max). A PyTorch LLM library that seamlessly integrates with HuggingFace, LangChain, LlamaIndex, DeepSpeed, vLLM, FastChat, ModelScope, etc.
quark0/darts
Differentiable architecture search for convolutional and recurrent networks
oneapi-src/oneDNN
oneAPI Deep Neural Network Library (oneDNN)
tensorforce/tensorforce
Tensorforce: a TensorFlow library for applied reinforcement learning
benedekrozemberczki/awesome-decision-tree-papers
A collection of research papers on decision, classification and regression trees with implementations.
lakshayg/tensorflow-build-archived
TensorFlow binaries supporting AVX, FMA, SSE
openai/random-network-distillation
Code for the paper "Exploration by Random Network Distillation"
google/inception
spencercarli/react-native-meteor-boilerplate
crazydonkey200/neural-symbolic-machines
Neural Symbolic Machines is a framework to integrate neural networks and symbolic representations using reinforcement learning, with applications in program synthesis and semantic parsing.
google/multibox
argonne-lcf/balsam
High throughput workflows and automation for HPC
Shmuma/rl
RL experiments
ECP-CANDLE/Benchmarks
ECP-CANDLE Benchmarks
argonne-lcf/AI4ScienceTutorial
A tutorial for students that surveys basic ML techniques in ipython notebook format.
intel-analytics/analytics-zoo
Distributed Tensorflow, Keras and PyTorch on Apache Spark/Flink & Ray