benoitdescamps

benoitdescamps's Stars

• CompVis/stable-diffusion

  A latent text-to-image diffusion model

  Language:Jupyter Notebook67.3k55970910.1k

• dair-ai/Prompt-Engineering-Guide

  🐙 Guides, papers, lecture, notebooks and resources for prompt engineering

  Language:MDX47.4k5261684.6k

• coqui-ai/TTS

  🐸💬 - a deep learning toolkit for Text-to-Speech, battle-tested in research and production

  Language:Python33.1k2791.1k4k

• tatsu-lab/stanford_alpaca

  Code and documentation to train Stanford's Alpaca models, and generate the data.

  Language:Python29.3k3392674k

• eugeneyan/applied-ml

  📚 Papers & tech blogs by companies sharing their work on data science & machine learning in production.

  27.1k945243.7k

• checkcheckzz/system-design-interview

  System design interview for IT companies

  21.6k973145.1k

• databrickslabs/dolly

  Databricks’ Dolly, a large language model trained on the Databricks Machine Learning Platform

  Language:Python10.8k1371621.2k

• google-deepmind/mujoco

  Multi-Joint dynamics with Contact. A general purpose physics simulator.

  Language:Jupyter Notebook7.8k1031.5k770

• erikbern/ann-benchmarks

  Benchmarks of approximate nearest neighbor libraries in Python

  Language:Python4.8k117206725

• nmslib/hnswlib

  Header-only C++/python library for fast approximate nearest neighbors

  Language:C++4.2k64362621

• alirezadir/Machine-Learning-Interviews

  This repo is meant to serve as a guide for Machine Learning/AI technical interviews.

  Language:Jupyter Notebook4.2k754758

• wnzhang/rtb-papers

  A collection of research and survey papers of real-time bidding (RTB) based display advertising techniques.

  3.5k4778925

• rguo12/awesome-causality-algorithms

  An index of algorithms for learning causality with data

  2.9k1089441

• galeone/tfgo

  Tensorflow + Go, the gopher way

  Language:Go2.4k6062154

• abseil/abseil-py

  Abseil Common Libraries (Python)

  Language:Python2.3k73111246

• Artemmkin/infrastructure-as-code-tutorial

  Infrastructure As Code Tutorial. Covers Packer, Terraform, Ansible, Vagrant, Docker, Docker Compose, Kubernetes

  2.3k10213421

• yahoojapan/NGT

  Nearest Neighbor Search with Neighborhood Graph and Tree for High-dimensional Data

  Language:C++1.2k38135113

• pfnet/pfrl

  PFRL: a PyTorch-based deep reinforcement learning library

  Language:Python1.2k9375157

• google/nucleus

  Python and C++ code for reading and writing genomics data.

  Language:C++7775243125

• jvpoulos/causal-ml

  Must-read papers and resources related to causal inference and machine (deep) learning

  653270123

• SMPyBandits/SMPyBandits

  🔬 Research Framework for Single and Multi-Players 🎰 Multi-Arms Bandits (MAB) Algorithms, implementing all the state-of-the-art algorithms for single-player (UCB, KL-UCB, Thompson...) and multi-player (MusicalChair, MEGA, rhoRand, MCTop/RandTopM etc).. Available on PyPI: https://pypi.org/project/SMPyBandits/ and documentation on

  Language:Jupyter Notebook3842021057

• DeNA/HandyRL

  HandyRL is a handy and simple framework based on Python and PyTorch for distributed reinforcement learning that is applicable to your own environments.

  Language:Python282132341

• tensorflow/build

  Build-related tools for TensorFlow

  Language:Shell2692957110

• nec-research/tf-imle

  Tensorflow implementation and notebooks for Implicit Maximum Likelihood Estimation

  Language:Jupyter Notebook68626

• MichelangeloConserva/TotalWarSimulator

  Total War Battle simulator for AI research

  Language:C#61617

• benbo/interactive-weak-supervision

  Interactive Weak Supervision: Learning Useful Heuristics for Data Labeling

  Language:Python30314

• galeone/tensorflow

  An Open Source Machine Learning Framework for Everyone

  Language:C++254013

• deliveroo/paddle

  Command line tool for data archiving and processing

  Language:Go914512

• JulesSanchez/X-NeSyL

  Main project of the internship done at ENSTA. FasterRCNN + shap backprop

  Language:Python8523

• artificially-ai/serverless-ai

  This repository focus on applying engineering techniques to deploy serverless deep learning models.

  3400