A latent text-to-image diffusion model

TensorFlow Tutorial and Examples for Beginners (support TF v1 & v2)

aka "Bayesian Methods for Hackers": An introduction to Bayesian methods + probabilistic programming with a computation/understanding-first, mathematics-second point of view. All in pure Python ;)

The fastai deep learning library

wtfpython的中文翻译/持续🚧.../ 能力有限，欢迎帮我改进翻译

From the basics to slightly more interesting applications of Tensorflow

SimCLRv2 - Big Self-Supervised Models are Strong Semi-Supervised Learners

Single Shot MultiBox Detector in TensorFlow

Implementations from the free course Deep Reinforcement Learning with Tensorflow and PyTorch

We unified the interfaces of instruction-tuning data (e.g., CoT data), multiple LLMs and parameter-efficient methods (e.g., lora, p-tuning) together for easy use. We welcome open-source enthusiasts…

Benchmarking large language models' complex reasoning ability with chain-of-thought prompting

2-2000x faster ML algos, 50% less memory usage, works on all hardware - new and old.

Unofficial implementation of the ImageNet, CIFAR 10 and SVHN Augmentation Policies learned by AutoAugment using pillow

Improving Convolutional Networks via Attention Transfer (ICLR 2017)

Koç University deep learning framework.

Experiments with Deep Learning

Official Repository for "Mish: A Self Regularized Non-Monotonic Neural Activation Function" [BMVC 2020]

Visualization Toolbox for Long Short Term Memory networks (LSTMs)

PyTorch implementation of "Learning to Discover Cross-Domain Relations with Generative Adversarial Networks"

"Neural Turing Machine" in Tensorflow

This repository contains notebook implementations of the following Neural Process variants: Conditional Neural Processes (CNPs), Neural Processes (NPs), Attentive Neural Processes (ANPs).

Pelee: A Real-Time Object Detection System on Mobile Devices

pytorch version of spatial transformer networks

Statistics and Visualization of acceptance rate, main keyword of CVPR 2019 accepted papers for the main Computer Vision conference (CVPR)

Attempt at implementing system described in "Neural Turing Machines." by Graves, Alex, Greg Wayne, and Ivo Danihelka. (http://arxiv.org/abs/1410.5401)

A repository sharing the literatures about long-context large language models, including the methodologies and the evaluation benchmarks

Lightweight non-uniform Fast Fourier Transform in Python

Observations and notes to understand the workings of neural network models and other thought experiments using Tensorflow

Implementation of ICML 23 Paper: Specializing Smaller Language Models towards Multi-Step Reasoning.