cozheyuanzhangde / Forward-ForwardLinks
Hinton's Forward-Forward Algorithm for Deep Learning
☆10Updated 2 years ago
Alternatives and similar repositories for Forward-Forward
Users that are interested in Forward-Forward are comparing it to the libraries listed below
Sorting:
- Deep Compression for PyTorch Model Deployment on Microcontrollers☆19Updated 4 years ago
- PyTorch Lightning implementation of the paper Deep Compression: Compressing Deep Neural Networks with Pruning, Trained Quantization and H…☆35Updated last year
- RWKV in nanoGPT style☆197Updated last year
- bfloat16 dtype for numpy☆20Updated 2 years ago
- ☆70Updated last year
- PyTorch implementation of Hinton's FF Algorithm with hard negatives sampling☆15Updated 3 years ago
- Implementation of "Gradients without backpropagation" paper (https://arxiv.org/abs/2202.08587) using functorch☆114Updated 2 years ago
- Optimizing the Deployment of Tiny Transformers on Low-Power MCUs☆30Updated last year
- The official, proof-of-concept C++ implementation of PocketNN.☆36Updated 4 months ago
- ☆129Updated 5 months ago
- Training small GPT-2 style models using Kolmogorov-Arnold networks.☆122Updated last year
- Implements a LLM similar to Meta's Llama 2 from the ground up in PyTorch, for educational purposes.☆38Updated 11 months ago
- CUDA and Triton implementations of Flash Attention with SoftmaxN.☆73Updated last year
- E2E AutoML Model Compression Package☆45Updated 10 months ago
- Forward Pass Learning and Inference Library, for neural networks and general intelligence, Signal Propagation (sigprop)☆54Updated 2 years ago
- Demo of the unit_scaling library, showing how a model can be easily adapted to train in FP8.☆46Updated last year
- Implementation/simulation of the predictive forward-forward credit assignment algorithm for training neurobiologically-plausible recurren…☆64Updated 2 years ago
- ShiftAddLLM: Accelerating Pretrained LLMs via Post-Training Multiplication-Less Reparameterization☆112Updated last year
- This is the code that went into our practical dive using mamba as information extraction☆57Updated 2 years ago
- Reimplementation of Geoffrey Hinton's Forward-Forward Algorithm☆162Updated 2 years ago
- NNCG: A Neural Network Code Generator☆36Updated last year
- Inference of Mamba and Mamba2 models in pure C☆196Updated last week
- Converting a deep neural network to integer-only inference in native C via uniform quantization and the fixed-point representation.☆26Updated 4 years ago
- Make triton easier☆50Updated last year
- Advanced Ultra-Low Bitrate Compression Techniques for the LLaMA Family of LLMs☆110Updated 2 years ago
- A byte-level decoder architecture that matches the performance of tokenized Transformers.☆67Updated last year
- FlashRNN - Fast RNN Kernels with I/O Awareness☆174Updated 3 months ago
- PB-LLM: Partially Binarized Large Language Models☆157Updated 2 years ago
- Code repo for the paper BiT Robustly Binarized Multi-distilled Transformer☆114Updated 2 years ago
- This code repository contains the code used for my "Optimizing Memory Usage for Training LLMs and Vision Transformers in PyTorch" blog po…☆92Updated 2 years ago