Pinned Repositories
Grupo-Bimbo-inventory-demand
Place 13 solution (Private LB) for the inventory demand forecasting challenge on Kaggle https://www.kaggle.com/c/grupo-bimbo-inventory-demand
annotated_deep_learning_paper_implementations
🧑🏫 60 Implementations/tutorials of deep learning papers with side-by-side notes 📝; including transformers (original, xl, switch, feedback, vit, ...), optimizers (adam, adabelief, sophia, ...), gans(cyclegan, stylegan2, ...), 🎮 reinforcement learning (ppo, dqn), capsnet, distillation, ... 🧠
AutoAugment
Unofficial implementation of the ImageNet, CIFAR 10 and SVHN Augmentation Policies learned by AutoAugment using pillow
boost-python-examples
Some examples for the use of boost::python
coco-2017-data-repo
dataset-scripts
scripts to download datasets
deep-learning-papers
Take away from SOTA DL papers
Deep_RL_with_pytorch
A pytorch tutorial for DRL(Deep Reinforcement Learning)
Diffusion-Models-pytorch
Pytorch implementation of Diffusion Models (https://arxiv.org/pdf/2006.11239.pdf)
docker
ashwin-999's Repositories
ashwin-999/LLM-from-Scratch
ashwin-999/server-dockers
ashwin-999/annotated_deep_learning_paper_implementations
🧑🏫 60 Implementations/tutorials of deep learning papers with side-by-side notes 📝; including transformers (original, xl, switch, feedback, vit, ...), optimizers (adam, adabelief, sophia, ...), gans(cyclegan, stylegan2, ...), 🎮 reinforcement learning (ppo, dqn), capsnet, distillation, ... 🧠
ashwin-999/openai-cookbook
Examples and guides for using the OpenAI API
ashwin-999/docker
ashwin-999/Torch-Pruning
[CVPR 2023] Towards Any Structural Pruning; LLMs / SAM / Diffusion / Transformers / YOLOv8 / CNNs
ashwin-999/LLMs-from-scratch
Implementing a ChatGPT-like LLM from scratch, step by step
ashwin-999/llm-applications
A comprehensive guide to building RAG-based LLM applications for production.
ashwin-999/object-detection-evaluation
ashwin-999/coco-2017-data-repo
ashwin-999/dataset-scripts
scripts to download datasets
ashwin-999/edgeai-yolox
YOLOX-ti-lite models are optimized for deployment on TI edge processors
ashwin-999/Diffusion-Models-pytorch
Pytorch implementation of Diffusion Models (https://arxiv.org/pdf/2006.11239.pdf)
ashwin-999/memory-efficient-attention-pytorch
Implementation of a memory efficient multi-head attention as proposed in the paper, "Self-attention Does Not Need O(n²) Memory"
ashwin-999/reinforcement-learning-dennybritz
Implementation of Reinforcement Learning Algorithms. Python, OpenAI Gym, Tensorflow. Exercises and Solutions to accompany Sutton's Book and David Silver's course.
ashwin-999/rlss23-dqn-tutorial
Deep Q-Network (DQN) and Fitted Q-Iteration (FQI) tutorial for RL Summer School 2023
ashwin-999/Deep_RL_with_pytorch
A pytorch tutorial for DRL(Deep Reinforcement Learning)
ashwin-999/YOLOX_From_Scratch
Attempting to build YOLOX from scratch
ashwin-999/minGPT
A minimal PyTorch re-implementation of the OpenAI GPT (Generative Pretrained Transformer) training
ashwin-999/boost-python-examples
Some examples for the use of boost::python
ashwin-999/Tutorials
Code for some of my tutorials
ashwin-999/Mask_RCNN
Mask R-CNN for object detection and instance segmentation on Keras and TensorFlow
ashwin-999/hello_tf_c_api
Neural Network TensorFlow C API
ashwin-999/leetcode-patterns
A curated list of leetcode questions grouped by their common patterns
ashwin-999/transformer_models
ashwin-999/Reinforcement-Learning
Learn Deep Reinforcement Learning in 60 days! Lectures & Code in Python. Reinforcement Learning + Deep Learning
ashwin-999/tensorflow_utils
useful tf tools, scripts, code snippets
ashwin-999/TorchPruner
On-the-fly Structured Pruning for PyTorch models. This library implements several attributions metrics and structured pruning utils for neural networks in PyTorch.
ashwin-999/pytorch-sentiment-analysis
Tutorials on getting started with PyTorch and TorchText for sentiment analysis.
ashwin-999/Practical_RL
A course in reinforcement learning in the wild