Explore Projects
Discover 657 open source projects
Showing 441-460 of 657 projects
bigscience-workshop/Megatron-DeepSpeed
An ongoing research project for training transformer language models at scale, including BERT and GPT-2.
LirongWu/awesome-graph-self-supervised-learning
A library for self-supervised learning on graphs, providing contrastive, generative, and predictive pretext tasks.
microsoft/SpeechT5
Unified-Modal Speech-Text Pre-Training for Spoken Language Processing
pytorch/hub
A PyTorch library for easy access to pre-trained models and model components for developers.
SalesforceAIResearch/uni2ts
Unified Training of Universal Time Series Forecasting Transformers for accurate time series forecasting.
OWASP/SecurityShepherd
Web and mobile application security training platform focused on secure coding practices.
training-center/mentoria
A mentorship platform connecting developers who want to learn with experienced mentors to help them grow.
mlfoundations/dclm
DataComp for Language Models is a library for training, evaluating, and deploying large language models.
torchgan/torchgan
A research framework for easy and efficient training of Generative Adversarial Networks (GANs) based on PyTorch.
utkuozdemir/nvidia_gpu_exporter
A Go-based Nvidia GPU exporter for Prometheus monitoring, providing detailed GPU metrics.
allenai/dolma
A Python library and tools for generating and inspecting data for pre-training large language models (LLMs).
jakowenko/double-take
A unified UI and API for processing and training images for facial recognition across various AI tools.
ConnorJL/GPT2
A Python implementation of training for GPT2, supporting TPUs for AI-focused developers.
instructlab/instructlab
A Python package for chatting with an AI model and executing the InstructLab workflow to train a model using custom taxonomy data.
google/haskell-trainings
This repository contains Haskell 101 and 102 slides and codelabs for developers interested in learning the Haskell programming language.
yu-changqian/TorchSeg
Fast, modular reference implementation of Semantic Segmentation algorithms in PyTorch for vibe coders.
rail-berkeley/softlearning
Softlearning is a powerful reinforcement learning framework for training maximum entropy policies in continuous domains.
hustvl/LightningDiT
A framework for training and deploying latent diffusion models for image reconstruction and generation.
SKTBrain/KoBERT
Korean BERT pre-trained model for natural language processing tasks in the Korean language.
pytorch/gloo
A collective communications library with various primitives for multi-machine training.
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