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Nerogar/OneTrainer

OneTrainer is a comprehensive solution for training Diffusion models, including fine-tuning, LORA, and more.

2.8K
Active
Python
Fine-tuning
Computer Vision
Python
#diffusion-model-training#fine-tuning#lora

brightmart/roberta_zh

A pre-trained RoBERTa language model for Chinese NLP tasks.

2.8K
Archived
Python
LLM Frameworks
Python
#bert#chinese#pre-trained

microsoft/CodeBERT

CodeBERT is a pre-trained model for programming language understanding and generation, useful for various AI coding tools.

2.7K
Archived
Python
LLM Frameworks
AI Code Generation
Python
#language-model#code-generation#programming-understanding

DLR-RM/rl-baselines3-zoo

A framework for training Stable Baselines3 reinforcement learning agents with hyperparameter optimization.

2.7K
Stable
Python
Reinforcement Learning
CLI Tools
PyTorch
#reinforcement-learning#hyperparameter-optimization#robotics

aaron-xichen/pytorch-playground

A PyTorch repository providing pre-trained models and datasets for common computer vision tasks.

2.7K
Archived
Python
ML Ops
Databases
PyTorch
#pytorch#computer-vision#datasets

mahyarnajibi/SNIPER

An efficient multi-scale object detection training and inference algorithm for computer vision tasks.

2.7K
Archived
Python
Computer Vision
Python
#computer-vision#object-detection#deep-learning

microsoft/pai

Resource scheduling and cluster management for AI workloads on Kubernetes and other platforms.

2.7K
Archived
JavaScript
ML Ops
Realtime
Kubernetes
#ai#kubernetes#cluster-management

cloud-annotations/cloud-annotations

A fast, easy, and collaborative open-source image annotation tool for teams and individuals.

2.7K
Archived
TypeScript
Computer Vision
Component Libraries (React)
React
#image-annotation#machine-learning#tensorflow

facebookresearch/sam-3d-body

This repository provides code and models for running inference with the SAM 3D Body Model, a tool for 3D body reconstruction.

2.7K
Stable
Python
Computer Vision
Inference
Python
#3d-body#computer-vision#inference

autodistill/autodistill

An AI-powered tool for training supervised models without manual labeling, using foundation models and multimodal learning.

2.6K
Experimental
Python
Computer Vision
Model Distillation
PyTorch
#auto-labeling#computer-vision#foundation-models

intel/neural-compressor

Optimizes large language models for low-bit precision and sparsity, improving model compression techniques.

2.6K
Active
Python
LLM Frameworks
PyTorch
#quantization#post-training-quantization#sparsity

microsoft/GLIP

GLIP is a pre-training approach for learning grounded language-image representations.

2.6K
Archived
Python
LLM Frameworks
Computer Vision
Python
#machine-learning#computer-vision#language-model

coqui-ai/STT

An open-source deep learning toolkit for building Speech-to-Text models and deploying them easily.

2.6K
Archived
C++
Speech Recognition
API Frameworks
TensorFlow
#speech-recognition#deep-learning#asr

quic/aimet

AIMET is an open-source library for advanced quantization and compression techniques in trained neural network models.

2.6K
Active
Python
React
#quantization#compression#neural-networks

LiyuanLucasLiu/RAdam

A PyTorch optimizer that adapts the learning rate to reduce the variance of gradients, improving training performance.

2.5K
Archived
Python
ML Ops
CLI Tools
PyTorch
#optimizer#gradient-descent#machine-learning

illuin-tech/colpali

Open-source library for training and running inference with ColVision models for vision-language retrieval and generation.

2.5K
Active
Python
LLM Frameworks
RAG & Vector
Python
#information-retrieval#vision-language-model#colpali

s3prl/s3prl

A toolkit for self-supervised speech pre-training and representation learning.

2.5K
Experimental
Python
Speech Recognition
API Frameworks
Python
#speech-recognition#self-supervised-learning#representation-learning

mll-lab-nu/RAGEN

RAGEN leverages reinforcement learning to train LLM reasoning agents in interactive, stochastic environments.

2.5K
Active
Python
LLM Frameworks
Agents & Orchestration
Python
#reinforcement-learning#llm#agents

GeorgeSeif/Semantic-Segmentation-Suite

A suite of tools for implementing, training, and testing semantic segmentation models in TensorFlow.

2.5K
Archived
Python
Computer Vision
API Frameworks
TensorFlow
#computer-vision#deep-learning#semantic-segmentation

young-geng/EasyLM

EasyLM is a one-stop solution for pre-training, fine-tuning, evaluating, and serving large language models (LLMs) in JAX/Flax.

2.5K
Archived
Python
LLM Frameworks
LLM Wrappers & SDKs
JAX
#large-language-models#natural-language-processing#chatbot
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