Ahmed Nabil's repositories
MNIST-with-PyTorch-f1_0.99
MNIST ("Modified National Institute of Standards and Technology") is the de facto “hello world” dataset of computer vision. Since its release in 1999, this classic dataset of handwritten images has served as the basis for benchmarking classification algorithms. As new machine learning techniques emerge, MNIST remains a reliable resource for researchers and learners alike. In this competition, your goal is to correctly identify digits from a dataset of tens of thousands of handwritten images. We’ve curated a set of tutorial-style kernels which cover everything from regression to neural networks. We encourage you to experiment with different algorithms to learn first-hand what works well and how techniques compare.
Practical_RL
A course in reinforcement learning in the wild
DQN-OpenAI-CartPole-PyTorch
We're going to be building and training a deep Q-network to learn to balance a pole on a moving cart. This is widely known as the cart and pole problem.
OpenAI-Gym-and-Python-for-Q-learning
We'll be making use of Gym to provide us with an environment for a simple game called Frozen Lake. We'll then train an agent to play the game using Q-learning, and we'll get a playback of how the agent does after being trained.
Practical_DL
DL course co-developed by YSDA, HSE and Skoltech
alphafold
Open source code for AlphaFold.
BDA-and-DS
Dual Course: EMC2 Data Scientist & Big Data Analytics & IBM Professional Data Science Course
CrypTen
A framework for Privacy Preserving Machine Learning
DeepGpt3Learning
Interactive assistant for writing is one of the essential references any writer is willing to have to find a new idea. Usually, writers search on the internet, read other articles, or watch an event to have an idea of what they can write about to attract their readers.
examples
A set of examples around pytorch in Vision, Text, Reinforcement Learning, etc.
featurewiz
Use advanced feature engineering strategies and select best features from your data set with a single line of code.
guidance
A guidance language for controlling large language models.
MinImagen
MinImagen: A minimal implementation of the Imagen text-to-image model
movie-reviewer
Sentiment Analysis Pipeline
NLP-Med-Dialogue
Here, I decided to analyze these dialogues and clean them for having them ready for Modeling. Unfortunately, we're not going to do any kinds of modelling here, all that we're going to do is analyse the dataset that we have by cleaning, removing the characters that represent a noise to the data, and adjusting the punctuation so it can help for having factual sentences.
notebooks
Notebooks using the Hugging Face libraries 🤗
openai-cookbook
Examples and guides for using the OpenAI API
PythonWindows
Unofficial Python installers for Windows
Quant-Finance-With-Python-Code
Repo for code examples in Quantitative Finance with Python by Chris Kelliher
seqtolang
Multi-Langauge Identification
spinningup
An educational resource to help anyone learn deep reinforcement learning.
stable-diffusion-webui
Stable Diffusion web UI
TFDistilBert-N-grams
Twitter has become an important communication channel in times of emergency. The ubiquitousness of smartphones enables people to announce an emergency they’re observing in real-time. Because of this, more agencies are interested in programatically monitoring Twitter (i.e. disaster relief organizations and news agencies).
TSCL
Contrastive Learning for Time Series
whisper-test
Automatically generate and overlay subtitles for any video using OpenAi Whisper