Nouamane Tazi's repositories
PaperScraper
A web scraping tool to systematically extract the text of scientific papers and corresponding metadata from university accessible journals.
beir
A Heterogeneous Benchmark for Information Retrieval. Easy to use, evaluate your models across 15+ diverse IR datasets.
trl
Train transformer language models with reinforcement learning.
ggml
Tensor library for machine learning
bloomz.cpp
C++ implementation for BLOOM
apex
A PyTorch Extension: Tools for easy mixed precision and distributed training in Pytorch
DeepSpeed
DeepSpeed is a deep learning optimization library that makes distributed training and inference easy, efficient, and effective.
Megatron-LM
Ongoing research training transformer models at scale
optimum
🏎️ Accelerate training and inference of 🤗 Transformers with easy to use hardware optimization tools
Megatron-DeepSpeed
Ongoing research training transformer language models at scale, including: BERT & GPT-2
bigscience
Central place for the engineering/scaling WG: documentation, SLURM scripts and logs, compute environment and data.
fast-stable-diffusion
fast-stable-diffusion, +25-50% speed increase + memory efficient + DreamBooth
diffusers
🤗 Diffusers: State-of-the-art diffusion models for image and audio generation in PyTorch
nouamanetazi.github.io
Nouamane Tazi's personal website.
transformers
🤗 Transformers: State-of-the-art Machine Learning for Pytorch, TensorFlow, and JAX.
accelerate
🚀 A simple way to train and use PyTorch models with multi-GPU, TPU, mixed-precision
torchdynamo
A Python-level JIT compiler designed to make unmodified PyTorch programs faster.
evaluate
A library for easily evaluating machine learning models and datasets.
onnxruntime
ONNX Runtime: cross-platform, high performance ML inferencing and training accelerator
sentence-transformers
Multilingual Sentence & Image Embeddings with BERT
recommenders
Best Practices on Recommendation Systems
Deformable-DETR
Deformable DETR: Deformable Transformers for End-to-End Object Detection.
scikit-learn
scikit-learn: machine learning in Python