
Python Guide to HuggingFace DistilBERT – Smaller, Faster & Cheaper Distilled BERT
Transfer Learning methods are primarily responsible for the breakthrough in Natural Learning Processing(NLP) these days. It can give state-of-the-art solutions

Transfer Learning methods are primarily responsible for the breakthrough in Natural Learning Processing(NLP) these days. It can give state-of-the-art solutions

Autonomous Vehicles(AV) are changing the future of transportation. Lyft, a ride sharing company, has taken self-driving to another level. They

Ever since Google has publicised Tensorflow, its application in Deep Learning has been increasing tremendously. It is used even more

Dragonfly, an open-source python framework for scalable and robust Bayesian optimization, is developed by researchers from Carnegie Mellon University, Pittsburgh

Once the AI/ML model is built, researchers spend a considerable amount of time to come up with different parameters on

OpenChat is an open-source python framework for chatting. It is based on generative models and capable of talking with AI

Einops, an abbreviation of Einstein-Inspired Notation for operations is an open-source python framework for writing deep learning code in a

This post is in continuation with our previous article about Alchemy, the very first benchmark on meta-Reinforcement Learning. Deepmind with

PyTorch Geometric Temporal is a temporal extension of PyTorch Geometric(PyG) framework, which we have covered in our previous article. This

Released under MIT license, built on PyTorch, PyTorch Geometric(PyG) is a python framework for deep learning on irregular structures like

Transformers is all the attention, we need right now! OpenAI has recently released its text-to-image generation model based on transformers

Facebook AI Research (FAIR) research on meta-learning has majorly classified into two types: First, methods that can learn representation for

Finding a good reward function for optimal policy in reinforcement learning is often challenging, and Inverse Reinforcement Learning(IRL) handles this

In alliance with Deep Mind and the University of Toronto, Google has released DreamerV2, the very first Reinforcement Learning agent

Transformers are known for their long-range interactions with sequential data and are easily adaptable to different tasks, be it Natural

When it comes to Deep Neural Network (DNNs), we are often confused about their architecture(like types of layers, number of

CompilerGym is a python toolkit by Facebook. It is a reinforcement learning package for compiler optimization problems. This framework’s motivation

3D face reconstruction has been widely used for gaming applications. Though in the existing methods, game character customization methods require

Facebook ReAgent, previously known as Horizon is an end-to-end platform for using applied Reinforcement Learning in order to solve industrial

PP-YOLO is a deep learning framework to detect objects. This framework is based on YOLO4 architecture. This method was published

VISSL is a computer VIsion library for state-of-the-art Self-Supervised Learning research. This framework is based on PyTorch. The key idea

Probabilistic Graphical Models(PGM) are a very solid way of representing joint probability distributions on a set of random variables. It

Class Imbalance is quite a known problem in datasets, and Imbalanced Learning is used to handle this problem by learning

Over the years, the image quality produced by GAN models has improved at a tremendous rate but the interpretability and

Training a GAN model often requires a large collection of the annotated dataset(FFHQ dataset, Imagenet Dataset). Making these large-scale datasets

Developing a new drug is a challenging task as it requires to go through a multi-step process. From developing a

Apple has introduced a new method for generating 3D scenes called Equivariant Neural Rendering. This method requires no 3D supervision

Torchmeta is an open-source meta-learning library built on top of Pytorch deep learning framework. The objective of Torchmeta is to

Facebook AI’s PyTorch 3D is a python library to deal with 3D data in deep learning. It is based on

Facebook’s Pytorch had created a huge buzz in the market when it was released five years ago. Now, it is
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