#
Lists (1)
Starred repositories
28
results
for source starred repositories
written in Jupyter Notebook
Clear filter
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 ;)
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
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.