Large text-to-video models trained on internet-scale data have shown extraordinary capabilities to generate high-fidelity films from arbitrarily written descriptions. However, fine-tuning a pretrained huge model might be prohibitively expensive, making it difficult to adapt these models...
Researchers have proposed a novel approach to enforcing distributional constraints in machine learning models using multi-marginal optimal transport. This approach is designed to be computationally efficient and allows for efficient computation of gradients during backpropagation.
Existing methods...
Stanford is looking to democratize research on artificial intelligence and medicine by releasing the world's largest free repository of AI-ready annotated medical imaging datasets....
Recently, Facebook released the Image Similarity data set and announced an associated competition hosted by DrivenData with a whopping $200,000 prize pool. The competition began on...
Here is a list of COVID-19 tools and public datasets which could be really helpful in understanding the disease (COVID-19) and performing data driven...
DeepFakes are AI-synthesized face-swapping videos which have currently become an emerging problem. A lot of AI labs and researchers are working on algorithms to...
Here is the list of selected Data Science and Machine Learning GitHub Repositories to Try in 2019
Paper with Code
Facebook’s Detectron
Training a Model on the...
We have listed below some of the best datasets/ projects for data science beginners.
1. Enron Emails:
2. The United States Census Data:
3. Walmart:
5. CDC Cause...
Here is the list of Facebook groups to join for Big Data/ Data Science
International Data Science Study GroupData Science WorldArtificial Intelligence | Data Science...
Here is a list of some of the important machine learning APIs for you to use.
PREDICTION BASED
MLJAR
Anaconda
Blue Yonder Platform M
NuPIC
Recombee
BigML ****
indico
PredictionIO ****
FACE DETECTION/ RECOGNITION
Betaface
Kairos API
Animetrics Face...
As we did in the previous tutorial will use Gradient descent optimization algorithm. Additionally, we will divide our data set into three slices, Training,...
First Steps with TensorFlow: ToolkitGoogle + open-source = TensorFlow 9 Things You Should Know About TensorFlowDeep Learning with TensorFlow in Python TensorFlow Tutorial For BeginnersImage Segmentation...
Gradient descent is the most popular optimization algorithm, used in machine learning and deep learning. Gradient descent is iterative optimization algorithm for finding the...
We have listed below some of the best datasets/ projects for machine learning beginners.
1. Breast Cancer Wisconsin (Diagnostic) Data Set
Download Link: Click here
2. Social Media Sentiment...
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