Pinned Repositories
ASL
Official Pytorch Implementation of: "Asymmetric Loss For Multi-Label Classification"(ICCV, 2021) paper
ImageNet21K
Official Pytorch Implementation of: "ImageNet-21K Pretraining for the Masses"(NeurIPS, 2021) paper
TResNet
Official Pytorch Implementation of "TResNet: High-Performance GPU-Dedicated Architecture" (WACV 2021)
AlphaCodium
codium-token-minimization
ImageNet21K
Official Pytorch Implementation of: "ImageNet-21K Pretraining for the Masses"(2021) paper
langchain
⚡ Building applications with LLMs through composability ⚡
ML_Decoder
Official PyTorch implementation of "ML-Decoder: Scalable and Versatile Classification Head" (2021) paper
pr-agent
pytorch-image-models
PyTorch image models, scripts, pretrained weights -- (SE)ResNet/ResNeXT, DPN, EfficientNet, MixNet, MobileNet-V3/V2/V1, MNASNet, Single-Path NAS, FBNet, and more
mrT23's Repositories
mrT23/AlphaCodium
mrT23/ImageNet21K
Official Pytorch Implementation of: "ImageNet-21K Pretraining for the Masses"(2021) paper
mrT23/codium-token-minimization
mrT23/langchain
⚡ Building applications with LLMs through composability ⚡
mrT23/ML_Decoder
Official PyTorch implementation of "ML-Decoder: Scalable and Versatile Classification Head" (2021) paper
mrT23/pr-agent
mrT23/pytorch-image-models
PyTorch image models, scripts, pretrained weights -- (SE)ResNet/ResNeXT, DPN, EfficientNet, MixNet, MobileNet-V3/V2/V1, MNASNet, Single-Path NAS, FBNet, and more
mrT23/shapy
shapy
mrT23/Solving_ImageNet
mrT23/accelerate
🚀 A simple way to train and use PyTorch models with multi-GPU, TPU, mixed-precision
mrT23/ASL
mrT23/Awesome-Deep-Learning-Resources
Rough list of my favorite deep learning resources, useful for revisiting topics or for reference. I have got through all of the content listed there, carefully. - Guillaume Chevalier
mrT23/AutoAWQ
AutoAWQ implements the AWQ algorithm for 4-bit quantization with a 2x speedup during inference. Documentation:
mrT23/AutoGPTQ
An easy-to-use LLMs quantization package with user-friendly apis, based on GPTQ algorithm.
mrT23/awesome-machine-learning
A curated list of awesome Machine Learning frameworks, libraries and software.
mrT23/cover-agent
CodiumAI Cover-Agent: An AI-Powered Tool for Automated Test Generation and Code Coverage Enhancement! 💻🤖🧪🐞
mrT23/fastai2
Temporary home for fastai v2 while it's being developed
mrT23/fastcore
Core functionality of fastai
mrT23/github-readme-stats
:zap: Dynamically generated stats for your github readmes
mrT23/HeadSharingKD
Implementation of the paper "It's All in the Head: Representation Knowledge Distillation through Classifier Sharing"
mrT23/inplace_abn
In-Place Activated BatchNorm for Memory-Optimized Training of DNNs
mrT23/litellm
Call all LLM APIs using the OpenAI format. Use Bedrock, Azure, OpenAI, Cohere, Anthropic, Ollama, Sagemaker, HuggingFace, Replicate (100+ LLMs)
mrT23/MNN
MNN is a blazing fast, lightweight deep learning framework, battle-tested by business-critical use cases in Alibaba
mrT23/mrT23
mrT23/nanoGPT
The simplest, fastest repository for training/finetuning medium-sized GPTs.
mrT23/PartialLabelingCSL
Official implementation for the paper: Multi-label Classification with Partial Annotations using Class-aware Selective Loss
mrT23/pillow-simd
The friendly PIL fork
mrT23/pinecone-datasets
An open-source dataset library for pre-embedded dataset: create your own data catalog, or use Pinecone's public datasets.
mrT23/tf-imagenet
TensorFlow ImageNet - Training and SOTA checkpoints
mrT23/tf-pose-estimation
Deep Pose Estimation implemented using Tensorflow with Custom Architectures for fast inference.