Vimukthi Randika Senarath Yapa's repositories
Cohesive_clustering
Clustering approach where the consistency is preserved.
byol-pytorch
Usable Implementation of "Bootstrap Your Own Latent" self-supervised learning, from Deepmind, in Pytorch
CLIP-SAM
Experiment on combining CLIP with SAM to do open-vocabulary image segmentation.
data-engineering-zoomcamp
Free Data Engineering course!
Machine-Learning
Experimenting Machine Learning Algorithms
DDPM
DDPM from scratch
Generative_Deep_Learning_2nd_Edition
The official code repository for the second edition of the O'Reilly book Generative Deep Learning: Teaching Machines to Paint, Write, Compose and Play.
GPU-Puzzles
Solve puzzles. Learn CUDA.
ijepa
Official codebase for I-JEPA, the Image-based Joint-Embedding Predictive Architecture. First outlined in the CVPR paper, "Self-supervised learning from images with a joint-embedding predictive architecture."
improved-diffusion
Release for Improved Denoising Diffusion Probabilistic Models
llm.c
LLM training in simple, raw C/CUDA
machine-learning-engineering-for-production-public
Public repo for DeepLearning.AI MLEP Specialization
MetaTransformer
Meta-Transformer for Unified Multimodal Learning
MS-SNSD
The Microsoft Scalable Noisy Speech Dataset (MS-SNSD) is a noisy speech dataset that can scale to arbitrary sizes depending on the number of speakers, noise types, and Speech to Noise Ratio (SNR) levels desired.
PGN
Prompt Generation Networks for Efficient Adaptation of Frozen Vision Transformers. Jochem Loedeman, Maarten C. Stol, Tengda Han, Yuki M. Asano. Tech Report. 2022
python-patterns
A collection of design patterns/idioms in Python
RT-DETR
Modified RT-DETR model for custom model creation
SparK
[ICLR'23 Spotlight🔥] The first successful BERT/MAE-style pretraining on any convolutional network; Pytorch impl. of "Designing BERT for Convolutional Networks: Sparse and Hierarchical Masked Modeling"
subgraph-sketching
code for Graph Neural Networks for Link Prediction with Subgraph Sketching https://arxiv.org/abs/2209.15486
VAR
[GPT beats diffusion🔥] [scaling laws in visual generation📈] Official impl. of "Visual Autoregressive Modeling: Scalable Image Generation via Next-Scale Prediction"
VQGAN-pytorch
Pytorch implementation of VQGAN (Taming Transformers for High-Resolution Image Synthesis) (https://arxiv.org/pdf/2012.09841.pdf)
Wuerstchen
Official implementation of Würstchen: Efficient Pretraining of Text-to-Image Models