sgaopico's repositories
llama3-from-scratch
llama3 implementation one matrix multiplication at a time
hls4ml
Machine learning on FPGAs using HLS
rsd
RSD: RISC-V Out-of-Order Superscalar Processor
ibex
Ibex is a small 32 bit RISC-V CPU core, previously known as zero-riscy.
verilog-pcie
Verilog PCI express components
dinov2
PyTorch code and models for the DINOv2 self-supervised learning method.
open-register-design-tool
Tool to generate register RTL, models, and docs using SystemRDL or JSpec input
tutorials
PyTorch tutorials.
d2l-en
Interactive deep learning book with multi-framework code, math, and discussions. Adopted at 400 universities from 60 countries including Stanford, MIT, Harvard, and Cambridge.
tuning_playbook
A playbook for systematically maximizing the performance of deep learning models.
bark
🔊 Text-Prompted Generative Audio Model
so-vits-svc
SoftVC VITS Singing Voice Conversion
vall-e
PyTorch implementation of VALL-E(Zero-Shot Text-To-Speech), Reproduced Demo https://lifeiteng.github.io/valle/index.html
unilm
Large-scale Self-supervised Pre-training Across Tasks, Languages, and Modalities
gym
A toolkit for developing and comparing reinforcement learning algorithms.
encodec
State-of-the-art deep learning based audio codec supporting both mono 24 kHz audio and stereo 48 kHz audio.
bypass-paywalls-chrome
Bypass Paywalls web browser extension for Chrome and Firefox.
python_for_microscopists
https://www.youtube.com/channel/UC34rW-HtPJulxr5wp2Xa04w?sub_confirmation=1
Real-Time-Voice-Cloning
Clone a voice in 5 seconds to generate arbitrary speech in real-time
segment-anything
The repository provides code for running inference with the SegmentAnything Model (SAM), links for downloading the trained model checkpoints, and example notebooks that show how to use the model.
blocksparse
Efficient GPU kernels for block-sparse matrix multiplication and convolution
Pytorch-UNet
PyTorch implementation of the U-Net for image semantic segmentation with high quality images
netron
Visualizer for neural network, deep learning, and machine learning models
detr
End-to-End Object Detection with Transformers
approachingalmost
Approaching (Almost) Any Machine Learning Problem
SpinalHDL_CNN_Accelerator
CNN accelerator implemented with Spinal HDL
math
SpinalHDL Hardware Math Library