Arie Rachmad Syulistyo's starred repositories
Self-Training
Iterative training on pseudo-labeled data experiment on the MNIST-dataset
phd-kyutech
This repository uses as documentation my progress during my phd program
Awesome-Sign-Language
Paper list of sign language, including sign language recognition(SLR), sign language translation(SLT) and other interesting work. Quick start your awesome work with us!! 🤟🤟🤟
Time-Series-Analysis-with-Python-Cookbook
Time Series Analysis with Python Cookbook, published by Packt
neural-net-internals-visualized
Visualizing some of the internals of a neural network during training and inference.
NNFS-book-with-Implementation
Book and code where describe each and every topic of neural network from scratch.
summerschool-KD-PEFT
Mexican NLP 2024 Summerschool Tutorial on Knowledge Distillation and Parameter Efficient Finetuning
nvark-kernel
Official repository for the paper "Time Series Kernels based on Nonlinear Vector AutoRegressive Delay Embeddings" (NeurIPS 2023)
CLIP_as_RNN
Official Implementation for CVPR 2024 paper: CLIP as RNN: Segment Countless Visual Concepts without Training Endeavor
deep_ml_esn
My Very Own Deep Multiple Layered Echo State Network
hybrid-reservoir-computing
simplified hybrid reservoir computing code
reservoir-computing-lyapunov-exponents
Using machine learning to replicate chaotic attractors and calculate Lyapunov exponents from data. Chaos 27, 121102 (2017); https://doi.org/10.1063/1.5010300
awesome-local-ai
An awesome repository of local AI tools
DeepFaceLab
DeepFaceLab is the leading software for creating deepfakes.
LLMs-from-scratch
Implement a ChatGPT-like LLM in PyTorch from scratch, step by step
llm-course
Course to get into Large Language Models (LLMs) with roadmaps and Colab notebooks.
ml-engineering
Machine Learning Engineering Open Book
uptime-monitor
A self-hosted web monitoring tool, built with laravel
segment-anything-annotator
We developed a python UI based on labelme and segment-anything for pixel-level annotation. It support multiple masks generation by SAM(box/point prompt), efficient polygon modification and category record. We will add more features (such as incorporating CLIP-based methods for category proposal and VOS methods for video datasets
hex-monscape
Build a simple turn-based game to learn how to write production code using Hexagonal Architecture. Onboarding reference for Haraj Solutions Team.
Data-Science-Interview-Questions-Answers
Curated list of data science interview questions and answers