97 Open source projects that are alternatives of or similar to koclip

Official code for "Maximum Likelihood Training of Score-Based Diffusion Models", NeurIPS 2021 (spotlight)

Chef Transformer 🍲 .

Unofficial JAX implementations of deep learning research papers

🤗 Transformers: State-of-the-art Machine Learning for Pytorch, TensorFlow, and JAX.

JAX implementations of core Deep RL algorithms

Python code for "Machine learning: a probabilistic perspective" (2nd edition)

JAX code for the paper "Control-Oriented Model-Based Reinforcement Learning with Implicit Differentiation"

EfficientNet, MobileNetV3, MobileNetV2, MixNet, etc in JAX w/ Flax Linen and Objax

Repository of Jupyter notebook tutorials for teaching the Deep Learning Course at the University of Amsterdam (MSc AI), Fall 2022/Spring 2022

The purpose of this repo is to make it easy to get started with JAX, Flax, and Haiku. It contains my "Machine Learning with JAX" series of tutorials (YouTube videos and Jupyter Notebooks) as well as the content I found useful while learning about the JAX ecosystem.

Implementations and checkpoints for ResNet, Wide ResNet, ResNeXt, ResNet-D, and ResNeSt in JAX (Flax).

PIX is an image processing library in JAX, for JAX.

This repository contains the dataset and the PyTorch implementations of the models from the paper Recognizing Emotion Cause in Conversations.

JAX-based Spiking Neural Network framework

Implement Question Generator with SOTA pre-trained Language Models (RoBERTa, BERT, GPT, BART, T5, etc.)

An Image is Worth 16x16 Words: Transformers for Image Recognition at Scale

Polish RoBERTA model trained on Polish literature, Wikipedia, and Oscar. The major assumption is that quality text will give a good model.

Feed forward VQGAN-CLIP model, where the goal is to eliminate the need for optimizing the latent space of VQGAN for each input prompt

Revisiting Rainbow

A collection of SOTA Image Classification Models in PyTorch

Official PyTorch Implementation of Long-Short Transformer (NeurIPS 2021).

莱斯杯：全国第二届“军事智能机器阅读”挑战赛 - Rank7 解决方案

a collection of visualization function

Towhee is a framework that is dedicated to making neural data processing pipelines simple and fast.

ShinRL: A Library for Evaluating RL Algorithms from Theoretical and Practical Perspectives (Deep RL Workshop 2021)

Companion code in JAX for the paper Parallel Iterated Extended and Sigma-Point Kalman Smoothers.

ADAM implements a collection of algorithms for calculating rigid-body dynamics in Jax, CasADi, PyTorch, and Numpy.

You Only Look at One Sequence (NeurIPS 2021)

Code for producing Japanese pretrained models provided by rinna Co., Ltd.

InterpretDL: Interpretation of Deep Learning Models，基于『飞桨』的模型可解释性算法库。

A GPT, made only of MLPs, in Jax

TransMorph: Transformer for Unsupervised Medical Image Registration (PyTorch)

Official Pytorch Implementation of: "ImageNet-21K Pretraining for the Masses"(NeurIPS, 2021) paper

Contains code for the paper "Vision Transformers are Robust Learners" (AAAI 2022).

A PyTorch implementation of "MobileViT: Light-weight, General-purpose, and Mobile-friendly Vision Transformer".

Vision Transformer for 3D medical image registration (Pytorch).

this is roberta wwm base distilled model which was distilled from roberta wwm by roberta wwm large

Implementation of Conv-based and Vit-based networks designed for CIFAR.

Computational Fluid Dynamics in JAX

Abstractive and Extractive Text summarization using Transformers.

A Robustly Optimized BERT Pretraining Approach for Vietnamese

pix2tex: Using a ViT to convert images of equations into LaTeX code.

LiBai(李白): A Toolbox for Large-Scale Distributed Parallel Training

This repository contains demos I made with the Transformers library by HuggingFace.

The Tensorflow, Keras implementation of Swin-Transformer and Swin-UNET

Object tracking implemented with the Roboflow Inference API, DeepSort, and OpenAI CLIP.

A Python library for machine-learning and feedback loops on streaming data

Official implement of Evo-ViT: Slow-Fast Token Evolution for Dynamic Vision Transformer

[MICCAI2022] This is an official PyTorch implementation for A Robust Volumetric Transformer for Accurate 3D Tumor Segmentation

The programming environment »Open Roberta Lab« by Fraunhofer IAIS enables children and adolescents to program robots. A variety of different programming blocks are provided to program motors and sensors of the robot. Open Roberta Lab uses an approach of graphical programming so that beginners can seamlessly start coding. As a cloud-based applica…

Implementation of paper Does syntax matter? A strong baseline for Aspect-based Sentiment Analysis with RoBERTa.

SOTA Semantic Segmentation Models in PyTorch

Graphsignal Python agent

Rank 1 / 216

A didactic Gaussian process package for researchers in Jax.

Flax Engine – multi-platform 3D game engine

Just playing with getting CLIP Guided Diffusion running locally, rather than having to use colab.

👩 Pytorch and Jax code for the Madam optimiser.

Federated posterior averaging implemented in JAX

2020 阿里云天池大数据竞赛-中医药文献问题生成挑战赛